Multivariate mapping for experienced users: comparing extrinsic and intrinsic maps with univariate maps

• Authors: Jolanta Korycka-Skorupa , Izabela Gołębiowska

Abstracts

EN

Multivariate mapping is a technique in which multivariate data are encoded into a single map. A variety of design solutions for multivariate mapping refers to the number of phenomena mapped, the map type, and the visual variables applied. Unlike other authors who have mainly evaluated bivariate maps, in our empirical study we compared three solutions when mapping four variables: two types of multivariate maps (intrinsic and extrinsic) and a simple univariate alternative (serving as a baseline). We analysed usability performance metrics (answer time, answer accuracy, subjective rating of task dificulty) and eye-tracking data. The results suggested that experts used all the tested maps with similar results for answer time and accuracy, even when using four-variable intrinsic maps, which is considered to be a challenging solution. However, eye-tracking data provided more nuances in relation to the diference in cognitive efort evoked by the tested maps across task types.

Keywords

EN

multivariate map; bivariate map; thematic mapping; user study; eye tracking

• Publisher: Wydział Geografii i Studiów Regionalnych Uniwersytetu Warszawskiego
• Journal: Miscellanea Geographica. Regional Studies on Development
• Year: 2021
• Volume: 25
• Issue: 4
• Pages: 259-271

Dates

published

2021

Contributors

author

Jolanta Korycka-Skorupa

• Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Warsaw, Poland

• https://orcid.org/0000000177373559

author

Izabela Gołębiowska

• Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Warsaw, Poland

• https://orcid.org/0000000177373559

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Identifiers

DOI

10.2478/mgrsd-2020-0068

Biblioteka Nauki

1955016